H04N1/00007

Detection of process abnormalities in a media processing system

Sheet media jams are detected along a media transport path by one or more vibration sensors that capture mechanical movements of components along the path that interact with the sheet media for driving or guiding the sheet media along the transport path. The detected vibrations during the advancing of the sheets are analyzed for distinguishing between detected vibrations associated with normal handling of the sheets and detected vibrations associated with abnormal handling of the sheets. An error condition can be signaled to a control system in response to distinguishing the detected vibrations associated with the abnormal handling of the sheets.

Method of measuring shutter time lag, display device for measuring shutter time lag, shutter time lag measurement apparatus, method of manufacturing camera, method of measuring display delay of camera, and display delay measurement apparatus

A method of measuring a shutter time lag of a camera includes: a first step of switching a display pattern of a display unit including i (i is a natural number greater than 2) display elements to a different display pattern at every time TP, and in the first step, the number of j (j is a natural number, and 1<j<i) display elements to be brought into a first display state among i display elements is switched at every time TP; a second step of capturing an image of the display unit in response to a shutter operation of the camera performed in synchronization with the switching operation; and a third step of deducing a shutter time lag taken from the shutter operation to the imaging of the display unit from the image captured by the camera.

ANALYZING SENSOR DATA OF A DEVICE COLLECTED BY A MOBILE ENDPOINT DEVICE OPERATING WITH THE DEVICE

A method, non-transitory computer readable medium and apparatus for analyzing operational sensor data of a device collected by a mobile endpoint device operating with the device are disclosed. For example, the method includes receiving the operational sensor data, a time stamp, a location of the device and a device identification (ID) from the mobile endpoint device, wherein the operational sensor data is collected by the mobile endpoint device from the device when the mobile endpoint device initiates a communication session with the device and transmitting the operational sensor data to a management service, wherein the operational sensor data is analyzed to determine a cause of a failure of the device when the device fails.

Analyzing sensor data of a device collected by a mobile endpoint device operating with the device

A method, non-transitory computer readable medium and apparatus for analyzing operational sensor data of a device collected by a mobile endpoint device operating with the device are disclosed. For example, the method includes receiving the operational sensor data, a time stamp, a location of the device and a device identification (ID) from the mobile endpoint device, wherein the operational sensor data is collected by the mobile endpoint device from the device when the mobile endpoint device initiates a communication session with the device and transmitting the operational sensor data to a management service, wherein the operational sensor data is analyzed to determine a cause of a failure of the device when the device fails.

Method and system for modifying image quality of an image
09536284 · 2017-01-03 · ·

A method and a system are described where the quality of an image can be modified, using formatted information related to the defects of the appliances of the chain of appliances. The method may include compiling directories of sources of formatted information related to the said appliances, searching automatically for this formatted information related to the appliances of the said chain of appliances, modifying the said image automatically by image-processing software or components by taking into account the formatted information. Additionally, the formatted information may be modified as a function of variable characteristics of the image to be processed and of the chain of appliances. Thus, it is possible to process the images derived from appliances that may be of diverse origins and that have been commercialized gradually over time, such as photographic or video images in optical instrumentation, industrial controls, robotics, metrology, etc.